This will use the python that LLVM was configured to use rather than
python from PATH.
Reviewed By: serge-sans-paille
Differential Revision: https://reviews.llvm.org/D105224
All of the new instructions are still handled mostly by tablegen. I've slightly
refactored the code to drive intrinsic/instruction generation from a master
list of supported variants, so all irregularities have to be implemented in one place only.
The test generation script wmma.py has been refactored in a similar way.
Differential Revision: https://reviews.llvm.org/D60015
llvm-svn: 359247
PTX 6.3 requires using ".aligned" in the MMA instruction names.
In order to generate correct name, now we pass current
PTX version to each instruction as an extra constant operand
and InstPrinter adjusts its output accordingly.
Differential Revision: https://reviews.llvm.org/D59393
llvm-svn: 359246
Make sure all print statements are compatible with Python 2 and Python3 using
the `from __future__ import print_function` statement.
Differential Revision: https://reviews.llvm.org/D56249
llvm-svn: 350307
This is needed for the upcoming implementation of the
new 8x32x16 and 32x8x16 variants of WMMA instructions
introduced in CUDA 9.1.
Differential Revision: https://reviews.llvm.org/D44719
llvm-svn: 328158
This way we can support address-space specific variants without explicitly
encoding the space in the name of the intrinsic. Less intrinsics to deal with ->
less boilerplate.
Added a bit of tablegen magic to match/replace an intrinsics with a pointer
argument in particular address space with the space-specific instruction
variant.
Updated tests to use non-default address spaces.
Differential Revision: https://reviews.llvm.org/D43268
llvm-svn: 328006
WMMA = "Warp Level Matrix Multiply-Accumulate".
These are the new instructions introduced in PTX6.0 and available
on sm_70 GPUs.
Differential Revision: https://reviews.llvm.org/D38645
llvm-svn: 315601
Steffen Larsen